To ensure a suffi cient reaction control, including fast mixing and heat removal, microstructured devices were chosen to conduct anionic polymerisations. To decrease the experimental effort and the resulting costs, a numerical approach was followed to apply decision support during experimental planning. Semi-quantitative CFD calculations were used to determine the best suited micromixer out of a collection of different devices. Using the numerical investigated micromixers for experimental investigations, the general order gained from CFD calculations was confi rmed. It could be shown that CFD calculations can benefi cially be used to rank micromixing devices for specifi c process conditions and synthesis tasks.
List of abbreviationsA area (m 2 ) CFD computational fl uid dynamics c concentration (mol/m 3 ) D binary diffusion coeffi cient (m 2 /s) d h hydraulic diameter k p rate constant of propagation (l/mol/s) ṁ mass fl ow rate (g/s) M molar mass (g/mol) p pressure (N/m 2 ) r mixing residuum (1) s length (m) t time (s) t R space time (s) t M ,95 % mixing time to achieve 95 % mixing quality v velocity vector (m/s) V volume fl ow rate (ml/min) w mass fraction (1) Indices D diffusion i; n control variable Init initiator max maximum perf perfect Mono monomer rel relative seg segregated sum sum/summed Greek symbols η viscosty (Pa × s) ρ density (kg/m 3 ) Δ R H reaction enthalpy (kJ/mol)